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This paper offers a novel methodological approach for better understanding how different capital assets can be organized, transformed, and used in different combinations to reduce livelihood sensitivity to climatic stresses – an area that requires greater research attention in the context of adaptation policy. Research was conducted in the northeastern floodplain communities of Bangladesh, regarded as one of the most climate sensitive, resource poor, and highly understudied areas of the country. This wetland-dominated ecosystem is home to diverse resources user groups (e.g., farmer and fisher) who are subjected to regular seasonal flooding, excessive rainfall, drought, and flash floods. Working in 12 adjacent villages of two significant wetlands (Hakaluki haor and Tanguar haor ), qualitative and quantitative data were collected through 15 focus groups ( n  = 15), 35 key informant interviews, and 356 household surveys to better understand how community members adapt in response to their livelihood sensitivity to the climatic stresses. Results indicate that community members organize and transform capital assets in diverse ways to escape climate-induced “poverty traps”. Findings also reveal that interventions from external agencies (e.g., government, non-governmental organizations and market institutions) are an important key to livelihood sustainability for many households. [ABSTRACT FROM AUTHOR]

Experts working on behalf of international development organisations need better tools to assist land managers in developing countries maintain their livelihoods, as climate change puts pressure on the ecosystem services that they depend upon. However, current understanding of livelihood vulnerability to climate change is based on a fractured and disparate set of theories and methods. This review therefore combines theoretical insights from sustainable livelihoods analysis with other analytical frameworks (including the ecosystem services framework, diffusion theory, social learning, adaptive management and transitions management) to assess the vulnerability of rural livelihoods to climate change. This integrated analytical framework helps diagnose vulnerability to climate change, whilst identifying and comparing adaptation options that could reduce vulnerability, following four broad steps: i) determine likely level of exposure to climate change, and how climate change might interact with existing stresses and other future drivers of change; ii) determine the sensitivity of stocks of capital assets and flows of ecosystem services to climate change; iii) identify factors influencing decisions to develop and/or adopt different adaptation strategies, based on innovation or the use/substitution of existing assets; and iv) identify and evaluate potential trade-offs between adaptation options. The paper concludes by identifying interdisciplinary research needs for assessing the vulnerability of livelihoods to climate change. [Copyright &y& Elsevier]